Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Newcastle vs Kazuya 83–54 60.58%
Newcastle vs Dragunov 67–62 51.94%
Newcastle vs Bryan 62–36 63.27%
Newcastle vs Hwoarang 56–38 59.57%
Newcastle vs Jin 52–39 57.14%
Newcastle vs Reina 49–38 56.32%
Newcastle vs Paul 43–38 53.09%
Newcastle vs Steve 42–36 53.85%
Newcastle vs King 45–30 60.00%
Newcastle vs Asuka 36–38 48.65%
Newcastle vs Lili 30–40 42.86%
Newcastle vs Devil Jin 37–30 55.22%
Newcastle vs Victor 32–29 52.46%
Newcastle vs Eddy 31–28 52.54%
Newcastle vs Lars 26–30 46.43%
Newcastle vs Jack-8 20–32 38.46%
Newcastle vs Law 31–19 62.00%
Newcastle vs Yoshimitsu 26–21 55.32%
Newcastle vs Claudio 26–21 55.32%
Newcastle vs Jun 21–23 47.73%
Newcastle vs Nina 20–23 46.51%
Newcastle vs Leo 23–19 54.76%
Newcastle vs Zafina 13–27 32.50%
Newcastle vs Fahkumram 17–22 43.59%
Newcastle vs Feng 19–18 51.35%
Newcastle vs Lee 17–18 48.57%
Newcastle vs Lidia 15–19 44.12%
Newcastle vs Leroy 24–9 72.73%
Newcastle vs Azucena 20–10 66.67%
Newcastle vs Xiaoyu 12–16 42.86%
Newcastle vs Alisa 13–11 54.17%
Newcastle vs Shaheen 11–13 45.83%
Newcastle vs Kuma 9–13 40.91%
Newcastle vs Heihachi 12–8 60.00%
Newcastle vs Raven 9–10 47.37%
Newcastle vs Anna 3–5 37.50%
Newcastle vs Panda 2–4 33.33%
Newcastle vs Clive 2–2 50.00%
Newcastle vs Armor King 1–1 50.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.